collaborators

10 papers

astro-ph.GA2026

The MAGPI Survey: Emission Line Products Data Release and the Role of Spectroscopic Aperture Covering Fraction on the Balmer Decrement-Stellar Mass Relation

A. J. Battisti, E. G. M. Muller, E. Wisnioski +27

The Middle Ages Galaxy Properties with Integral field spectroscopy (MAGPI) survey is a Large Program on the European Southern Observatory Very Large Telescope using the MUSE instru…

astro-ph.GA2026

The MAGPI Survey: Evidence for Non-Universal Resolved Dust Attenuation Relations Beyond the Local Universe

A. Mailvaganam, T. Zafar, P. Corcho-Caballero +39

We study the spatially resolved relation between dust attenuation () and star formation rate surface density () in galaxies from the MAGPI survey ($0.25 < z…

astro-ph.GA2026

A Census of Double-Peaked Lyman-alpha Emitters in MAGPI: Classification, Global Characteristics, and Spatially Resolved Properties

Tamal Mukherjee, Tayyaba Zafar, Themiya Nanayakkara +17

Double-peaked Ly profiles provide critical insights into gas kinematics and the distribution of neutral hydrogen (HI) from the interstellar to the intergalactic medium (ISM to…

astro-ph.GA2026

The GECKOS survey: Resolving the molecular and ionised gas in the galactic outflow of ESO~484-036

J. Hernández-Yévenes, D. B. Fisher, B. Mazzilli Ciraulo +20

We present a spatially resolved, multiphase study of the outflow in the edge-on starburst galaxy ESO~484-036 from the GECKOS survey, combining VLT/MUSE H and ALMA CO(10) obs…

astro-ph.GA2026

ASKAP EMU detection of an Odd Radio Circle (ORC) candidate: J094412-751016 (Anglerfish)

M. D. Filipović, Z. J. Smeaton, A. C. Bradley +33

We report diffuse extended radio-continuum emission spatially coinciding with the IR source WISEA J094409.17-751012.8, and a semi-variable star, V687 Carinae. We use 944 MHz radio…

astro-ph.GA2026

EMU/GAMA: A statistical perspective on active galactic nuclei diagnostics

J. Prathap, A. M. Hopkins, R. Carvajal +19

While it is well known that galaxies are composites of many emission processes, quantifying the various contributions remains challenging. In this work, we use unsupervised machine…